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There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
A method is presented for identifying individuals by shape, given a sequence of noisy silhouettes segmented from video. A spectral partitioning framework is used to cluster similar...
Abstract. The accuracy of Automatic Fingerprint Identification Systems (AFIS) is dependent on many variables ranging from the quality of the friction skin surface itself, to the ab...
J. K. Schneider, C. E. Richardson, F. W. Kiefer, V...
In the year 2000 a competition was organised to collect face verification results on an identical, publicly available data set using a standard evaluation protocol. The database us...
Kieron Messer, Josef Kittler, Mohammad Sadeghi, S&...
Abstract. Human gait is an attractive modality for recognizing people at a distance. In this paper we adopt an appearance-basedapproach to the problem of gait recognition. The widt...
Amit A. Kale, Naresh P. Cuntoor, B. Yegnanarayana,...
In this work, we present a multimodal identity verification system based on the fusion of the face image and the text independent speech data of a person. The system conciliates th...
Jacek Czyz, Samy Bengio, Christine Marcel, Luc Van...
Abstract. The goal of forensic dentistry is to identify people based on their dental records, mainly as radiograph images. In this paper we attempt to set forth the foundations of ...
We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comp...
The performance of fingerprint matching algorithm relies heavily on the accuracy of fingerprint alignment. Falsely aligning two feature sets extracted from two finger images of a f...